Agenda

Data Engineering with Azure Databricks, Simon Whiteley

Azure DataBricks brings a Platform-as-a-Service offering of Apache Spark, which allows for blazing fast data processing, interactive querying and the hosting of machine learning models all in one place! But most of the buzz is around what it means for Data Science & AI – what about the humble data engineer who wants to harness the in-memory processing power within their ETL pipelines? How does it fit into the Modern Data Warehouse? What does data preparation look like in this new world?

This session will run through the best practices of implementing Azure DataBricks as your data ingestion, transformation and curation tool of choice.

Azure Synapse Analytics, Bent Nissen Pedersen

Beskrivelse af indlægget er på vej… Indtil da så får I beskrivelsen fra Microsoft: “Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.”